Rapid energy consumption optimization stream medium application bandwidth resource allocation method

Abstract

The invention discloses a rapid energy consumption optimization stream medium application bandwidth resource allocation method suitable for a scene of stream medium bandwidth resource allocation of a single base station in a mobile cellular network of 3G (the 3rd generation telecommunication) or LTE (Long term evolution). The rapid energy consumption optimization stream medium application bandwidth resource allocation method includes the steps that a dispatching controller is built between a base station and a server, and the dispatching controller collects the number of users in the network, playing speed of the users and the size of video requested by the users, updates buffer time of the users and the like at regular intervals; when a plurality of the users in the mobile cellular network request stream medium data, the dispatching controller runs a rapid energy consumption optimization stream medium bandwidth allocation strategy, allocates bandwidths for all the users so as to save energy of a mobile terminal, and simultaneously guarantees that jammed time of the video does not exceed a certain limit, and uses an adjustment coefficient to achieve balance between energy consumption of the mobile terminal and the video buffer time of the users. The rapid energy consumption optimization stream medium application bandwidth resource allocation method achieves the purpose of obtaining the minimum average energy consumption for all client sides on the premise of meeting a limiting requirement for the buffer time of the users of the stream medium video.

Description

technical field [0001] The invention belongs to the application field of bandwidth resource allocation in mobile cellular networks, and in particular relates to a fast energy consumption optimized streaming media application bandwidth resource allocation method. Background technique [0002] According to Cisco's research reports in recent years, the traffic of streaming media applications has grown exponentially, and it is estimated that by 2018, its traffic will account for more than 69% of the total traffic. Due to the continuous development of wireless access technologies, more and more people will choose to access 3G or LTE networks to watch videos. However, the battery development technology of mobile terminals is relatively lagging behind at present, and it is difficult to support users to use streaming media applications for a long time, which restricts the development of mobile streaming media applications to a certain extent. In the mobile network scenario, the mai...

AI Technical Summary

Problems solved by technology

Within the scope of a single base station, the service bandwidth of the base station is limited, and it is relatively common to request streaming media data online. A large amount of data requests will lead to user competition and video freezes.

Therefore, it is not advisable to only consider the case of a single user

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